A new consensus mining approach to group ranking problems involving different intensities of preferences

2019 ◽  
Vol 131 ◽  
pp. 320-326
Author(s):  
Li-Ching Ma
Keyword(s):  
Group Ranking ◽  
Ranking Problems

Discovering Consensus Preferences Visually Based on Gower Plots

2018 ◽  
Vol 17 (03) ◽  
pp. 741-761
Author(s):  
Li-Ching Ma
Keyword(s):  
Group Consensus ◽  
Visual Aids ◽  
Ranking List ◽  
Consensus Sequences ◽  
Group Ranking ◽  
Data Mining Approach ◽  
Search Processes ◽  
Ranking Problems ◽  
Visually Based ◽  
Made In

Group-ranking problems are widely encountered decision problems which combine personal preferences to form an integrated group priority; however, providing support to solve group-ranking problems is difficult because each person has his/her own viewpoint regarding how such decisions should be made. In addition, many researchers have shown that visual aids are useful in helping users comprehend decision backgrounds. Therefore, determining how to support the group-ranking process and providing visual aids is an important issue. This study proposes a novel graphical approach to discover group consensus sequences. First, a counting-based data mining approach is constructed to discover a consensus preference matrix. Second, an ordinal Gower plot can be drawn whereby group consensus sequences can be directly observed. Unlike previous methods, the proposed approach can discover group consensus sequences without involving tedious candidate generation and exhaustive search processes, derive a total ranking list, as well as provide visual aids to users.

ADDITIVE-VETO MODELS FOR CHOICE AND RANKING MULTICRITERIA DECISION PROBLEMS

2013 ◽  
Vol 30 (06) ◽  
pp. 1350026 ◽  
Author(s):  
ADIEL TEIXEIRA DE ALMEIDA
Keyword(s):  
High Performance ◽  
Additive Model ◽  
Additive Models ◽  
Numerical Application ◽  
Multicriteria Decision ◽  
Decision Methods ◽  
Overall Evaluation ◽  
Low Performance ◽  
Ranking Problems ◽  
Multicriteria Decision Problems

Using additive models for aggregation of criteria is an important procedure in many multicriteria decision methods. This compensatory approach, which scores the alternatives straightforwardly, may have significant drawbacks. For instance, the Decision Maker (DM) may prefer not to select alternatives which have a very low performance in whatever criterion. In contrast, such an alternative may have the best overall evaluation, since the additive model may compensate this low performance in one of the criteria as a result of high performance in other criteria. Thus, additive-veto models are proposed with a view to considering the possibility of vetoing alternatives in such situations, particularly for choice and ranking problems. A numerical application illustrates the use of such models, with a detailed discussion related to real practical problems. Moreover, the results obtained from a numerical simulation show that it is not so rare for a veto of the best alternative to occur in the additive model. This is of considerable relevance depending on the DM's preference structure.

Privacy Preserving Group Ranking

2012 ◽  
Author(s):  
Lingjun Li ◽  
Xinxin Zhao ◽  
Guoliang Xue ◽  
Gabriel Silva
Keyword(s):  
Privacy Preserving ◽  
Group Ranking

scholarly journals Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

2020 ◽  
Vol 17 (8) ◽  
pp. 2858
Author(s):  
Junchang Li ◽  
Jiantong Zhang ◽  
Ye Ding
Keyword(s):  
Health Management ◽  
Medical Application ◽  
Assessment System ◽  
Medical Apps ◽  
Attribute Weight ◽  
Group Ranking ◽  
Medical App ◽  
Multiple Attribute ◽  
The Individual ◽  
Mobile Medical Apps

The mobile medical application (M-medical APP) can optimize medical service process and reduce health management costs for users, which has become an important complementary form of traditional medical services. To assist users including patients choose the ideal M-medical APP, we proposed a novel multiple attribute group decision making algorithm based on group compromise framework, which need not determine the weight of decision-maker. The algorithm utilized an uncertain multiplicative linguistic variable to measure the individual original preference to express the real evaluation information as much as possible. The attribute weight was calculated by maximizing the differences among alternatives. It determined the individual alternatives ranking according to the net flow of each alternative. By solved the 0–1 optimal model with the objective of minimizing the differences between individual ranking, the ultimate group compromise ranking was obtained. Then we took 10 well-known M-medical APPs in Chinese as an example, we summarized service categories provided for users and constructed the assessment system consisting of 8 indexes considering the service quality users are concerned with. Finally, the effectiveness and superiority of the proposed method and the consistency of ranking results were verified, through comparing the group ranking results of 3 similar algorithms. The experiments show that group compromise ranking is sensitive to attribute weight.

scholarly journals Incorporation of the Method of Ranking the Hazards of Abandoned Mine Entries into a Rule-Based Expert System

Minerals ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 600 ◽  
Author(s):  
Mhlongo ◽  
Amponsah-Dacosta ◽  
Kadyamatimba
Keyword(s):  
Expert System ◽  
Limpopo Province ◽  
Abandoned Mines ◽  
Abandoned Mine ◽  
Production Rules ◽  
Web Based ◽  
Rule Based ◽  
Ranking Problems ◽  
The Web

The work of quantifying the problems of abandoned mines is the first step towards the rehabilitation of these mines. As the result, in all countries that have many abandoned mines, researchers and different organizations have been making efforts to develop decision-making tools, methods, and techniques for rehabilitation of abandoned mines. This paper describes the work conducted to incorporate the method for ranking the problems of abandoned mine entries into a rule-based expert system. This is done using the web-based expert system platform provided by expert system (ES)-Builder Shell. The ES is tested by applying it to the case study of the problems of abandoned mine entries in the areas of Giyani and Musina, Limpopo Province of South Africa. This paper gives details of the procedure followed in creating the production rules of the ES for ranking problems of abandoned mine entries (ES-RAME), its attributes, and the results of its application to the selected case study. The use of the ES-RAME is found to be important for setting the objectives and priorities of the rehabilitation of abandoned mine entries. In addition, the incorporation of the ranking method into the expert system ensured that the procedure of the tanking method is clearly communicated and preserved as the rules of the ES. The expert system also has the advantages of being consistent in its guidance, and it gives the user an opportunity to go through the ranking process of the system using any possible fictitious information; this gives the user a feel for the ranking process and the data required when using the ES-RAME.

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